An expert system for estimation of fatigue properties of metallic materials

• Published in: International journal of fatigue Vol. 24; no. 6; pp. 685 - 698
• Main Authors: Jeon, W.-S, Song, J.-H
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.06.2002; Elsevier Science
• Subjects: Applied sciences; Condensed matter: structure, mechanical and thermal properties; Estimation method; Exact sciences and technology; Expert system; Fatigue properties; Fatigue, brittleness, fracture, and cracks; Mechanical and acoustical properties of condensed matter; Mechanical properties of solids; Metals. Metallurgy; Physics; Simple tensile data; Estimation method; Simple tensile data; Fatigue properties; Expert system; Alloy steel; Reviews; Fracture mechanics; Fatigue strength; Metals; Carbon steels; Theoretical study; Mechanical properties; Steels; Expert systems
• ISSN: 0142-1123; 1879-3452
• DOI: 10.1016/S0142-1123(01)00184-0

An expert system for estimation of fatigue properties from simple tensile data of material is developed, considering nearly all important estimation methods proposed so far, i.e. seven estimation methods. The expert system is developed using an expert system shell, UNIK, and the knowledge base is constructed with production rules and frames. Forward chaining is employed as a reasoning method. The expert system has three major functions including the function to update the knowledge base. The performance of the expert system is tested using the 54 ϵ– N curves consisting of 381 ϵ– N data points obtained for 22 materials. It is found that the expert system developed has excellent performance especially for steel materials, and reasonably good for titanium alloys.